Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.2 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Mannion
1
58 kgBrown
5
65 kgRathe
7
74 kgCraddock
13
69 kgBoswell
14
70 kgStone
33
64 kg
1
58 kgBrown
5
65 kgRathe
7
74 kgCraddock
13
69 kgBoswell
14
70 kgStone
33
64 kg
Weight (KG) →
Result →
74
58
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANNION Gavin | 58 |
| 5 | BROWN Nathan | 65 |
| 7 | RATHE Jacob | 74 |
| 13 | CRADDOCK Lawson | 69 |
| 14 | BOSWELL Ian | 70 |
| 33 | STONE Mike | 64 |